Join Cyntegrity as an intern, one of the leading clinical trial risk management technology providers in the industry. We’re proud of our bespoke and highly rated MyRBQM® Portal and MyRBQM® Academy brands. At Cyntegrity, we specialize in delivering innovative solutions to improve clinical research. The Data Engineer Intern specializing in clinical trials configuration plays a pivotal role in our organization. This position is responsible for clinical data management and development of data systems specifically configured for clinical trials. As part of our data team, this role is instrumental in ensuring that the data supporting our clinical trials is robust, accurate, and easily accessible, thus upholding the organization’s commitment to the highest standards of scientific research.

WHAT WE’RE LOOKING FOR:

We’re seeking curious, driven, and collaborative individuals who are eager to learn and make an impact. Here’s what you’ll need:

• Bachelor’s or Master’s degree in Life or Natural Sciences (Biochemistry, Bioinformatics, Biology), Medicine, Computer Science, or a related field
• Experience in working with medical and biological data is a big plus
• 1+ years of experience in programming and data analysis on Python. JavaScript or C# is a plus.
• Familiarity with regulations and standards regarding clinical trials data, such as CDISC standards
• Excellent verbal and written communication skills, essential for interdisciplinary collaboration
• Problem-solving mindset with a keen attention to detail
• Certification in relevant data management or clinical trials tools is a plus

Other:

• Good written and spoken language skills in EnglishAble to work remotely and consistently produce results

As a Data Engineer Intern , you will work alongside our talented team on projects that directly contribute to the success of our clinical trial risk monitoring solutions. Your responsibilities will include:

• Designing the structure of databases for data from clinical trials
• Collaborate closely with clinical trial teams to understand and capture data requirements
• Ensure the accuracy and consistency of medical data by implementing quality checks and validation protocols
• Address data-related issues in real time to ensure uninterrupted clinical trial processes
• Maintain and optimize data pipelines tailored for clinical trial needs
• Stay updated on the latest regulations and best practices in clinical trial data management and apply this knowledge to system designs
• Work alongside data scientists and analysts to ensure data is readily available and usable for insights generation